structured output benchmark
IF
Instruction-Following Evaluation (IFEval) benchmark for large language models, focusing on verifiable instructions with 25 types of instructions and around 500 prompts containing one or more verifiable constraints
Updated Aug 11, 2026
Models2
Model coverage2
MetricScore
EvidenceB
IF Ranking
Higher score ranks better on this benchmark.
| 01 | MA | 84.8% | 100.0% | 2 | C | |
| 02 | MI | 72.0% | 0.0% | 2 | C |
IF Score Distribution
A closer view of the leading scores on this benchmark.
IF Highlights
The leading models and scores on this benchmark.
What is IF?
What IF measures and how its scores work.
Instruction-Following Evaluation (IFEval) benchmark for large language models, focusing on verifiable instructions with 25 types of instructions and around 500 prompts containing one or more verifiable constraints
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- IF
- Modality
- text
- Primary category
- structured output
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- if|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about IF.
Which model scores highest on IF?
Mistral Small 3.2 24B Instruct is currently ranked first with 84.8%.
What does IF measure?
Instruction-Following Evaluation (IFEval) benchmark for large language models, focusing on verifiable instructions with 25 types of instructions and around 500 prompts containing one or more verifiable constraints
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
2 model results are currently shown.
Does this benchmark affect the overall score?
No. This benchmark is shown for reference but does not contribute to the overall score.